Modifying the chi-square and the CMH test for population genetic inference: adapting to overdispersion

DOI10.1214/19-AOAS1301zbMath1439.62227arXiv1902.08127OpenAlexW3016688606MaRDI QIDQ2179957

Kerstin Spitzer, Marta Pelizzola, Andreas Futschik

Publication date: 13 May 2020

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.08127

zbMATH Keywords

overdispersiongenetic driftchi-square testexperimental evolutionCMH testevolve and resequencepool sequencing

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Measures of association (correlation, canonical correlation, etc.) (62H20) Genetics and epigenetics (92D10)

Related Items (1)

Modifying the chi-square and the CMH test for population genetic inference: adapting to overdispersion

Uses Software

• R
• BBGP
• PoPoolation2

Cites Work

• Mathematical population genetics. I: Theoretical introduction.
• Modifying the chi-square and the CMH test for population genetic inference: adapting to overdispersion
• A novel spectral method for inferring general diploid selection from time series genetic data
• The harmonic mean p -value for combining dependent tests
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